Machine Learning Courses
Learn how to build and tune predictive models and evaluate how well they'll perform on unseen data.
Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!
Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.
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What is Data Science? Definition, Examples, Tools & More
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data.
The Top Data Science Jobs of the Future
This article will help you understand the evolving landscape of data science so you can embrace continuous learning and position yourself for success in this dynamic and in-demand field.
Fighting the Climate Crisis with Data
Jean-Pierre Pélicier shares his unique perspective on how data is not just transforming the renewable energy industry, but also redefining the way we approach the climate crisis.
An Introduction to SHAP Values and Machine Learning Interpretability
Machine learning models are powerful but hard to interpret. However, SHAP values can help you understand how model features impact predictions.
Abid Ali Awan
An Introduction to Statistical Machine Learning
Discover the powerful fusion of statistics and machine learning. Explore how statistical techniques underpin machine learning models, enabling data-driven decision-making.
Machine Learning Experimentation: An Introduction to Weights & Biases
Learn how to structure, log, and analyze your machine learning experiments using Weights & Biases.